{"id":"https://openalex.org/W2014280980","doi":"https://doi.org/10.1155/2010/367317","title":"Signal Reconstruction from Nonuniformly Spaced Samples Using Evolutionary Slepian Transform-Based POCS","display_name":"Signal Reconstruction from Nonuniformly Spaced Samples Using Evolutionary Slepian Transform-Based POCS","publication_year":2010,"publication_date":"2010-07-07","ids":{"openalex":"https://openalex.org/W2014280980","doi":"https://doi.org/10.1155/2010/367317","mag":"2014280980"},"language":"en","primary_location":{"id":"doi:10.1155/2010/367317","doi":"https://doi.org/10.1155/2010/367317","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/367317","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/367317","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/367317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100863513","display_name":"Jinsung Oh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I122706678","display_name":"Halla University","ror":"https://ror.org/03kw5ag50","country_code":"KR","type":"education","lineage":["https://openalex.org/I122706678"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinsung Oh","raw_affiliation_strings":["Department of Electrical Engineering, Halla University, Wonju, Gangwon, 220-712, Republic of Korea","Department of Electrical Engineering, Halla University, Wonju, Gangwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Halla University, Wonju, Gangwon, 220-712, Republic of Korea","institution_ids":["https://openalex.org/I122706678"]},{"raw_affiliation_string":"Department of Electrical Engineering, Halla University, Wonju, Gangwon, Republic of Korea","institution_ids":["https://openalex.org/I122706678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027432069","display_name":"Seda \u015eenay","orcid":"https://orcid.org/0000-0001-9765-1384","observed_orcids":["https://orcid.org/0000-0001-9765-1384"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seda Senay","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, 348 Benedum Hall, Pittsburgh, PA, 15261, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, 348 Benedum Hall, Pittsburgh, PA, 15261, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pa","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111655555","display_name":"L.F. Chaparro","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"LuisF Chaparro","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, 348 Benedum Hall, Pittsburgh, PA, 15261, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, 348 Benedum Hall, Pittsburgh, PA, 15261, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pa","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111655555"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":3.0186,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90549358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"2010","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.01510000042617321,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"signal reconstruction","score":0.902999997138977},{"id":"https://openalex.org/keywords/projection-onto-convex-sets","display_name":"projection onto convex sets","score":0.8899999856948853},{"id":"https://openalex.org/keywords/slepian-functions","display_name":"Slepian functions","score":0.9359999895095825},{"id":"https://openalex.org/keywords/non-stationary-signals","display_name":"non-stationary signals","score":0.7649999856948853},{"id":"https://openalex.org/keywords/bandlimited-signals","display_name":"band-limited signals","score":0.8349999785423279}],"concepts":[{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6174905300140381},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5705689787864685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5624071955680847},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.552749752998352},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5410436987876892},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5323185324668884},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5137913823127747},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46618956327438354},{"id":"https://openalex.org/C124062153","wikidata":"https://www.wikidata.org/wiki/Q7806645","display_name":"Time\u2013frequency representation","level":4,"score":0.45462632179260254},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.454505980014801},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4249208867549896},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42439359426498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3807657063007355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2377634048461914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12931600213050842},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1115739643573761},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10454291105270386},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2010/367317","doi":"https://doi.org/10.1155/2010/367317","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/367317","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/367317","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:251c86dd6af24f63943490c969eb5b16","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/251c86dd6af24f63943490c969eb5b16","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2010, Iss 1, p 367317 (2010)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:df01ffc7fd0848a6ac2e5cf3c1f7aa9d","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/df01ffc7fd0848a6ac2e5cf3c1f7aa9d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2010/367317","doi":"https://doi.org/10.1155/2010/367317","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/367317","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/367317","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2014280980.pdf","grobid_xml":"https://content.openalex.org/works/W2014280980.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1629040618","https://openalex.org/W1639511150","https://openalex.org/W1975277534","https://openalex.org/W1993016110","https://openalex.org/W1998293304","https://openalex.org/W2000684095","https://openalex.org/W2049472408","https://openalex.org/W2058574978","https://openalex.org/W2065902930","https://openalex.org/W2067111814","https://openalex.org/W2085440994","https://openalex.org/W2090075003","https://openalex.org/W2091976656","https://openalex.org/W2094698388","https://openalex.org/W2102524639","https://openalex.org/W2117796268","https://openalex.org/W2129922993","https://openalex.org/W2134361480","https://openalex.org/W2143526638","https://openalex.org/W2158640238","https://openalex.org/W2166500461","https://openalex.org/W2167208435","https://openalex.org/W2256387105","https://openalex.org/W2296024354","https://openalex.org/W3134835688","https://openalex.org/W3143835353"],"related_works":["https://openalex.org/W2407876242","https://openalex.org/W1514580552","https://openalex.org/W2083686356","https://openalex.org/W2009801033","https://openalex.org/W165813442","https://openalex.org/W2086539594","https://openalex.org/W4311408240","https://openalex.org/W2344572444","https://openalex.org/W2049472408","https://openalex.org/W2102015162"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,19,64,67,78,96,100,110,115,130,137,141,155,159,168,174,179],"reconstruction":[3,182],"of":[4,24,57,66,77,82,95,183],"signals":[5,63,88,184],"from":[6,73,106,185],"nonuniformly":[7,102],"spaced":[8,103],"samples":[9,104],"using":[10],"a":[11,54,74,107,120,144,151,164],"projection":[12,76,156],"onto":[13],"convex":[14,153],"sets":[15],"(POCSs)":[16],"implemented":[17],"with":[18,119],"evolutionary":[20,50,68,131,175],"time-frequency":[21,55,160],"transform.":[22],"Signals":[23],"practical":[25],"interest":[26],"have":[27],"finite":[28,111,146],"time":[29,112,125,147],"support":[30,113],"and":[31,35,60,85,114,126,148,181,187],"are":[32,105],"nearly":[33],"band-limited,":[34],"as":[36],"such":[37],"can":[38,70],"be":[39,71],"better":[40],"represented":[41],"by":[42,46,93,158],"Slepian":[43,75,97],"functions":[44],"than":[45],"sinc":[47],"functions.":[48,98],"The":[49,80],"spectral":[51],"theory":[52],"provides":[53],"representation":[56,69,81,180],"nonstationary":[58],"signals,":[59],"for":[61],"deterministic":[62],"kernel":[65],"derived":[72],"signal.":[79,170],"low":[83],"pass":[84,87],"band":[86],"is":[89],"thus":[90],"efficiently":[91],"done":[92],"means":[94],"Assuming":[99],"given":[101],"signal":[108,138,142],"satisfying":[109],"essential":[116],"band-limitedness":[117],"conditions":[118],"known":[121,145],"center":[122],"frequency,":[123],"imposing":[124],"frequency":[127,149],"limitations":[128],"in":[129,178],"transformation":[132,161],"permit":[133],"us":[134],"to":[135,143,167],"reconstruct":[136],"iteratively.":[139],"Restricting":[140],"support,":[150],"closed":[152],"set,":[154],"generated":[157],"converges":[162],"into":[163],"close":[165],"approximation":[166],"original":[169],"Simulation":[171],"results":[172],"illustrate":[173],"Slepian-based":[176],"transform":[177],"irregularly-spaced":[186],"contiguous":[188],"lost":[189],"samples.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
